Premature atrial complexes detection using the Fisher Linear Discriminant. - Mohamed Elgendi; Mirjam Jonkman; Friso De Boer (IEEE ICCI, 2008)

Heart Rate Variability Measurement using the Second Derivative Photoplethysmogram. - Mohamed Elgendi; Mirjam Jonkman; Friso De Boer (BIOSIGNALS, 2010)

Frequency Bands Effects on QRS Detection. - Mohamed Elgendi; Mirjam Jonkman; Friso De Boer (BIOSIGNALS, 2010)

Heart Rate Variability and the Acceleration Plethysmogram Signals Measured at Rest. - Mohamed Elgendi; Mirjam Jonkman; Friso De Boer (BIOSTEC (Selected Papers), 2010)

Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease. - Mohamed Elgendi; François B. Vialatte; Andrzej Cichocki; Charles-François Vincent Latchoumane; Jaeseung Jeong 002; Justin Dauwels (EMBC, 2011)

Immersive Neurofeedback - A New Paradigm. - Mohamed Elgendi; François B. Vialatte; Martin Constable; Justin Dauwels (IJCCI (NCTA), 2011)

Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands. - Esteve Gallego-Jutglà; Mohamed Elgendi; François B. Vialatte; Jordi Solé-Casals; Andrzej Cichocki; Charles-François Vincent Latchoumane; Jaeseung Jeong 002; Justin Dauwels (EMBC, 2012)

Real-Time Feedback System for Monitoring and Facilitating Discussions. - Sanat Sarda; Martin Constable; Justin Dauwels; Shoko Dauwels; Mohamed Elgendi; Mengyu Zhou; Umer Rasheed; Yasir Tahir; Daniel Thalmann; Nadia Magnenat-Thalmann (IWSDS, 2012)

Preliminary study for localizing c, d and e waves in photoplethysmogram signals. - Mohamed Elgendi (EMBC, 2014)

On the effect of subliminal priming on subjective perception of images: A machine learning approach. - Parmod Kumar; Faisal Mahmood 001; Dhanya Menoth Mohan; Ken Wong; Abhishek Agrawal; Mohamed Elgendi; Rohit Shukla; Justin Dauwels; Alice H. D. Chan (EMBC, 2014)

Detection of c, d, and e waves in the acceleration photoplethysmogram. - Mohamed Elgendi (Comput. Methods Programs Biomed., 2014)

Temporal correction of detected R-peaks in ECG signals: A crucial step to improve QRS detection algorithms. - Stefan Gradl; Heike Leutheuser; Mohamed Elgendi; Nadine Lang; Björn M. Eskofier (EMBC, 2015)

Frequency analysis of photoplethysmogram and its derivatives. - Mohamed Elgendi; Richard Ribón Fletcher; Ian Norton; Matt Brearley; Derek Abbott; Nigel H. Lovell; Dale Schuurmans (Comput. Methods Programs Biomed., 2015)

Fast T Wave Detection Calibrated by Clinical Knowledge with Annotation of P and T Waves. - Mohamed Elgendi; Bjoern M. Eskofier; Derek Abbott (Sensors, 2015)

On Time Domain Analysis of Photoplethysmogram Signals for Monitoring Heat Stress. - Mohamed Elgendi; Rich Fletcher; Ian Norton; Matt Brearley; Derek Abbott; Nigel H. Lovell; Dale Schuurmans (Sensors, 2015)

High performance EEG feature extraction for fast epileptic seizure detection. - Ramy Hussein; Mohamed Elgendi; Rabab Kreidieh Ward; Amr Mohamed 001 (GlobalSIP, 2017)

Robust detection of epileptic seizures based on L1-penalized robust regression of EEG signals. - Ramy Hussein; Mohamed Elgendi; Z. Jane Wang 001; Rabab K. Ward (Expert Syst. Appl., 2018)

Characteristics of a Highly Cited Article: A Machine Learning Perspective. - Mohamed Elgendi (IEEE Access, 2019)

The use of photoplethysmography for assessing hypertension. - Mohamed Elgendi; Richard Ribón Fletcher; Yongbo Liang; Newton Howard; Nigel H. Lovell; Derek Abbott; Kenneth Lim; Rabab Ward (npj Digit. Medicine, 2019)

Machine Learning Ranks ECG as an Optimal Wearable Biosignal for Assessing Driving Stress. - Mohamed Elgendi; Carlo Menon (IEEE Access, 2020)

Machine Learning Revealed New Correlates of Chronic Pelvic Pain in Women. - Mohamed Elgendi; Catherine Allaire; Christina Williams; Mohamed A. Bedaiwy; Paul J. Yong (Frontiers Digit. Health, 2020)

Advancing PPG Signal Quality and Know-How Through Knowledge Translation - From Experts to Student and Researcher. - Samuel Huthart; Mohamed Elgendi; Dingchang Zheng; Gerard Stansby; John Allen (Frontiers Digit. Health, 2020)

Impact of Data Transformation: An ECG Heartbeat Classification Approach. - Yongbo Liang; Ahmed Hussain; Derek Abbott; Carlo Menon; Rabab Ward; Mohamed Elgendi (Frontiers Digit. Health, 2020)

Classification of blood pressure in critically ill patients using photoplethysmography and machine learning. - Elisa Mejía-Mejía; James M. May; Mohamed Elgendi; Panayiotis A. Kyriacou (Comput. Methods Programs Biomed., 2021)

Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients. - Elisa Mejía-Mejía; James M. May; Mohamed Elgendi; Panayiotis A. Kyriacou (npj Digit. Medicine, 2021)

PPGTempStitch: A MATLAB Toolbox for Augmenting Annotated Photoplethsmogram Signals. - Qunfeng Tang; Zhencheng Chen; Carlo Menon; Rabab Ward; Mohamed Elgendi (Sensors, 2021)

Dataset of Psychological Scales and Physiological Signals Collected for Anxiety Assessment Using a Portable Device. - Mohamed Elgendi; Valeria Galli; Chakaveh Ahmadizadeh; Carlo Menon (Data, 2022)

ECGAssess: A Python-Based Toolbox to Assess ECG Lead Signal Quality. - Linus Kramer; Carlo Menon; Mohamed Elgendi (Frontiers Digit. Health, 2022)

Impact of Box-Cox Transformation on Machine-Learning Algorithms. - Luca Blum; Mohamed Elgendi; Carlo Menon (Frontiers Artif. Intell., 2022)

Blood pressure measurement using only a smartphone. - Lorenz Frey; Carlo Menon; Mohamed Elgendi (npj Digit. Medicine, 2022)

Clinical use of artificial intelligence in endometriosis: a scoping review. - Brintha Sivajohan; Mohamed Elgendi; Carlo Menon; Catherine Allaire; Paul J. Yong; Mohamed A. Bedaiwy (npj Digit. Medicine, 2022)

The Use of Audio Signals for Detecting COVID-19: A Systematic Review. - José Gómez Aleixandre; Mohamed Elgendi; Carlo Menon (Sensors, 2022)

MDPI Highly and Lowly Cited Papers. - Mohamed Elgendi (IEEE DataPort, 2022)

Analysis of Force Profile Features in Spinal Manipulation Therapy. - Mohamed Elgendi; Valentina Cecchini; Luana Nyirö; Lindsay M. Gorrell; Petra Schweinhardt; Carlo Menon (IEEE Access, 2023)

Editorial: Mobile and wearable systems for health monitoring. - Mohamed Elgendi; Richard Ribón Fletcher; Derek Abbott; Dingchang Zheng; Panicos A. Kyriacou; Carlo Menon (Frontiers Digit. Health, 2023)

Evaluating reliability in wearable devices for sleep staging. - Vera Birrer; Mohamed Elgendi; Olivier Lambercy; Carlo Menon (npj Digit. Medicine, 2024)

The role of face regions in remote photoplethysmography for contactless heart rate monitoring. - Maksym Bondarenko; Carlo Menon; Mohamed Elgendi (npj Digit. Medicine, 2025)